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Google Cloud Training
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery.
Register for this course and see more details by visiting:
OpenCourser.com/course/5sysqx/bigquery
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What's inside
Syllabus
BigQuery Architecture and Resource Provisioning
This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.
Read more
Syllabus
BigQuery Architecture and Resource Provisioning
This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Shares similarities with Snowflake, offering an easy transition for experienced SQL users
Focuses on BigQuery fundamentals, making it suitable for beginners new to BigQuery
Taught by Google Cloud Training, known for their expertise in the cloud domain
Covers key concepts like data ingestion, SQL optimization, and schema design
Interactive labs and hands-on exercises provide practical experience
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Reviews summary
Bigquery transition for snowflake professionals
According to students, this course is a largely positive and highly effective resource for professionals transitioning from Snowflake to BigQuery. Learners particularly praise the incredibly helpful comparisons between Snowflake and BigQuery, which are key to understanding the nuances of BigQuery. The hands-on labs are frequently highlighted as crucial for cementing understanding and are often described as practical and well-designed. Students appreciate the clear and structured approach to topics like BigQuery architecture, data ingestion, and SQL in BigQuery, including query optimization and cost control. While generally excellent for its intended audience, some experienced data engineers might find it too fundamental, expecting more advanced topics. Additionally, there are isolated mentions of intermittent lab environment issues, though recent feedback suggests these might be less prevalent.
Provides crucial hands-on experience for practical application.
"...the labs were practical. I particularly appreciated the focus on schema design and query optimization."
"The hands-on exercises cemented my understanding. Highly recommend for professionals."
"The hands-on labs were crucial and worked perfectly. The instructor's explanations were clear and concise."
Effectively bridges the gap between Snowflake and BigQuery.
"As a Snowflake expert, this course was exactly what I needed to quickly get up to speed with BigQuery. The comparisons between Snowflake and BigQuery were incredibly helpful..."
"Good overview of BigQuery. The course effectively highlighted the key differences with Snowflake, which was my primary interest."
"Absolutely fantastic! As someone who lives in Snowflake, this course demystified BigQuery. The module on SQL differences and cost optimization was particularly valuable."
Some learners encountered technical problems with labs.
"I found the labs sometimes glitchy or hard to follow, requiring a bit too much troubleshooting."
"I found some of the lab environments unresponsive, which wasted time."
"The practical application was hindered by unresponsive lab environments for me."
Ideal for fundamentals, not for experienced BigQuery users.
"I came into this course expecting more advanced topics and deep dives into performance tuning beyond the basics... Felt too basic in some areas."
"While it's okay for fundamentals, it's not for experienced data engineers."
"The depth on certain topics like data types and partitioning was just right for an introduction. I would have appreciated more real-world use cases for a 5-star rating."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in BigQuery Fundamentals for Snowflake Professionals with these
activities:
Review Database Architecture
Show steps
Performing a quick review of database architecture will allow you to better understand the way BigQuery stores and processes your data.
Browse courses on
Database Architecture
Show steps
-
Read through a couple of chapters in a database architecture book
-
Create a simple database architecture diagram
Review SQL Commands
Show steps
Reviewing SQL commands will allow you to feel more comfortable working with BigQuery's SQL implementation.
Browse courses on
SQL
Show steps
-
Review an online tutorial on SQL
-
Attempt a few practice problems on LeetCode or a similar platform
-
Write a few SQL queries to practice your skills
Follow Along With BigQuery Tutorial for Beginners
Show steps
BigQuery provides some beginner-friendly tutorials that can help you get started with using the platform.
Show steps
-
Navigate to the following URL: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries
-
Follow the instructions in the tutorial to create a BigQuery client library in your preferred language
-
Run the sample code provided in the tutorial
Two other activities
Expand to see all activities and additional details
Show all five activities
Complete a Set of BigQuery Practice Problems
Show steps
Working through practice problems will help you solidify your understanding of BigQuery's features and functionality.
Show steps
-
Find a set of practice problems online or in a book
-
Attempt to solve the problems on your own
-
Check your answers against the provided solutions
Create a Blog Post on Using BigQuery
Show steps
Writing a blog post will help you to synthesize your knowledge of BigQuery and share what you've learned with others.
Show steps
-
Choose a topic that you're interested in writing about
-
Research your topic and gather your thoughts
-
Write a draft of your blog post
-
Edit and revise your blog post
-
Publish your blog post
Review Database Architecture
Show steps
Performing a quick review of database architecture will allow you to better understand the way BigQuery stores and processes your data.
Browse courses on
Database Architecture
Show steps
Show steps
Show steps
- Read through a couple of chapters in a database architecture book
- Create a simple database architecture diagram
Review SQL Commands
Show steps
Reviewing SQL commands will allow you to feel more comfortable working with BigQuery's SQL implementation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review an online tutorial on SQL
- Attempt a few practice problems on LeetCode or a similar platform
- Write a few SQL queries to practice your skills
Follow Along With BigQuery Tutorial for Beginners
Show steps
BigQuery provides some beginner-friendly tutorials that can help you get started with using the platform.
Show steps
Show steps
Show steps
- Navigate to the following URL: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries
- Follow the instructions in the tutorial to create a BigQuery client library in your preferred language
- Run the sample code provided in the tutorial
Two other activities
Expand to see all activities and additional details
Show all five activities
Complete a Set of BigQuery Practice Problems
Show steps
Working through practice problems will help you solidify your understanding of BigQuery's features and functionality.
Show steps
Show steps
Show steps
- Find a set of practice problems online or in a book
- Attempt to solve the problems on your own
- Check your answers against the provided solutions
Create a Blog Post on Using BigQuery
Show steps
Writing a blog post will help you to synthesize your knowledge of BigQuery and share what you've learned with others.
Show steps
Show steps
Show steps
- Choose a topic that you're interested in writing about
- Research your topic and gather your thoughts
- Write a draft of your blog post
- Edit and revise your blog post
- Publish your blog post
Career center
Learners who complete BigQuery Fundamentals for Snowflake Professionals will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Data Analyst
Data Analyst
A Data Analyst studies and assesses data to help organizations make informed decisions. This course can help someone interested in this field because the skills learned, such as data ingestion, schema design, and SQL optimization, are all essential for managing and analyzing large datasets in BigQuery. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Data Scientist / Machine Learning Engineer
Data Scientist / Machine Learning Engineer
A Data Scientist / Machine Learning Engineer uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists / Machine Learning Engineers build efficient and cost-effective models and pipelines.
Data Scientist
Data Scientist
A Data Scientist uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists build efficient and cost-effective models.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Intelligence Analysts build efficient and cost-effective dashboards and reports.
Database Developer
Database Developer
A Database Developer designs and builds databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Business Analyst
Business Analyst
A Business Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Analysts build efficient and cost-effective dashboards and reports.
Data Engineer
Data Engineer
A Data Engineer builds and maintains the infrastructure that supports data analytics. This course may be useful for someone interested in this field because the skills learned, such as resource provisioning and workload management, are essential for ensuring the efficient and reliable operation of a BigQuery data warehouse. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Cloud Data Engineer
Cloud Data Engineer
A Cloud Data Engineer designs and builds cloud data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Cloud Architect
Cloud Architect
A Cloud Architect designs and builds cloud computing solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Software Engineers build efficient and cost-effective data pipelines and applications.
Data Integration Engineer
Data Integration Engineer
A Data Integration Engineer designs and builds data integration solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Integration Engineers build efficient and cost-effective data pipelines and integrations.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs and builds big data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Big Data Engineers build efficient and cost-effective data pipelines and applications.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.
For more career information including salaries, visit:
OpenCourser.com/course/5sysqx/bigquery
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
BigQuery Fundamentals for Snowflake Professionals.
This guide provides a deep dive into BigQuery's architecture, data ingestion, query optimization, and best practices, offering valuable insights for Snowflake professionals transitioning to BigQuery.
Save
Provides a comprehensive overview of the design and implementation of data-intensive applications. It covers all aspects of data-intensive applications, from data modeling and storage to query processing and optimization.
Provides a comprehensive overview of database systems. It covers all aspects of database systems, from database design and implementation to query processing and optimization.
Provides a comprehensive overview of natural language processing with Python. It covers all aspects of natural language processing, from text preprocessing and feature engineering to language modeling and machine translation.
Save
Provides a comprehensive overview of signal processing with Python. It covers all aspects of signal processing, from digital signal processing and filtering to time series analysis and machine learning.
Provides a comprehensive overview of big data analytics with Hadoop. It covers all aspects of big data analytics, from data collection and storage to data processing and analysis.
Provides a comprehensive overview of data-intensive text processing with MapReduce. It covers all aspects of data-intensive text processing, from data collection and storage to data processing and analysis.
Provides a comprehensive overview of machine learning with R. It covers all aspects of machine learning, from data preprocessing and feature engineering to model training and evaluation.
Provides a comprehensive overview of deep learning with Python. It covers all aspects of deep learning, from neural network architectures and training to model evaluation and deployment.
This classic book provides a comprehensive overview of dimensional modeling, a fundamental concept in data warehouse design and implementation.
Introduces machine learning concepts and techniques using BigQuery, providing practical examples and insights for Snowflake professionals transitioning to BigQuery.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5sysqx/bigquery
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Effort
2 weeks of study, 5-7 hours per week
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
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